Data integration platform
Experience the simplicity and adaptability of joining information, dwelling in various sources in a unified view with reduced costs and business growth, rather than a generic platform our data integration solutions are created to match the client’s requirements.
Organizations have large sets of data. Structured data like log files, spreadsheets, and tables. Unstructured data like emails, documents, images, and videos. This data is typically stored in disconnected systems, where it rapidly diversifies in type, increases in volume, and becomes more difficult to use every day as and when more specifics are added in the functions.
The people who rely on this data don’t think in terms of rows, columns, or raw text. They think in terms of their organization’s mission and the challenges they face. They need a way to ask questions about their data management and receive answers in a language they understand. Enter the Kunector Labs.
How does it work?
Start with identifying data from multiple sources
Design and deploy smart data acquisition systems that extract data from multiple sources, treat data at various levels and the speed of change in business landscape, stream data to the data acquisition infrastructure and deliver insights.
Fuse the data into a human centric model
By using mathematics models backed by ML, deploy solution stack that generates descriptive, prescriptive and predictive analytics on the assimilated data and stream binary, numerical and visual insights to the analysts on real-time.
Tag, Secure and Track all the data flows
Validate the quality of the data sources, blend, curate and harness to provide a single glass pane to the customer. Maintaining a robust IT infrastructure that manages the inflow and outflow of raw and curated data via a tagging mechanism for
Bring the data to life for human driven analysis
No single algorithm can offer a perfect solution to any data problem at question. Algorithms have to blended at various levels based on how the data unties the information to the data scientists. The data gets treated as per the required
In the Graph application, users explore the semantic relationships among data objects visually as networks of nodes and edges. With timeline, histogram, and presentation capabilities, users can visualize sequences of events, filter objects with similar characteristics.
The Browser application puts users in front of their most valuable data, when they need it, in a way they understand. During analysis, users apply structure and tag documents so that they are able to standardize the functionality factor and ease off extracting insights for memory graphing.
Object Explorer lets analysts filter billions of data objects to arrive at interesting subsets for further analysis in other external applications, like the Graph or Map. Object Explorer is powered by Kunector’s Log Horizon in memory database which articulates the data objects from multiple processing points
Not all data has equal value. The Browser application puts users in front of their most valuable data, when they need it, in a way they understand—accelerating the time to insight. During analysis, users apply structure and tag documents so that they are able to standardize the functionality factor and ease off extracting insights for memory graphing.
Business professionals become citizen automators when companies integrate their web services that they utilise every day. Kunector’s platform gives organisations the power to sync all data, connect deeply into apps, and configure flexible workflows with cross functionality feature enhancement—no dev required. With Kunector, organisations can